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The scatter plot provided displays a group of students' test scores versus the number of missing assignments the students have. Based on plot, select the best answer that describes the direction of the points.
The data points in the scatter plot move up the y-axis as the x-axis decreases; thus the data points show a negative association. Also, the data points do not curve, or go up and down, but gradually decreased; thus the scatter plot shows a linear association. We could even draw a "best fit" line:
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A teacher at a high school conducted a survey of seniors and found that students owned a laptop and
of those students also had a car. There were
students that did not have a laptop, but owned a car. Last, they found that
students did not own a laptop nor a car. Given this information, how many students had a laptop, but did not own a car?
To help answer this question, we can construct a two-way table and fill in our known quantities from the question.
The columns of the table will represent the students who have a laptop or do not have a laptop and the rows will contain the students who have a car or do not have a car. The first bit of information that we were given from the question was that students had a laptop; therefore,
needs to go in the "laptop" column as the row total. Next, we were told that of those students,
owned a car; therefore, we need to put
in the "laptop" column and in the "car" row. Then, we were told that
students do not own a laptop, but own a car, so we need to put
in the "no laptop" column and the "car" row. Finally, we were told that
students do not have a laptop or a car, so
needs to go in the "no laptop" column and "no car" row. If done correctly, you should create a table similar to the following:
Our question asked how many students have a laptop, but do not own have a car. We can take the total number of students that own a lap top, , and subtract the number of students who have a car,
This means that students who have a laptop, don't have a car.
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